PowerBI has 37 visuals available to you. However, just a few clicks away, there are 200+ visuals just waiting to enhance your reports. Join me as I give you a quick tour of what is available. From awesome to downright quirky.
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Lots of ADF, lots of data, lots of automation and lots of lessons learned. Backups aren't as useful as they look, dedicated pools have several "interesting" features in the small print, ADF is not always your friend and how to mitigate the sometimes deadly embrace of throughput vs concurrency trade off.
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So you've heard that automating deployments to your databases are all the rage, not least because you don't have to wake up at 2am to perform them. But how do you get from having a database with no automation to having your DB in code, and deploying changes automatically using Azure DevOps?
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Learn how to integrate Microsoft Forms, Power Automate and Power BI into a live interactive data application!
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If you like writing SQL and need a cheap data platform in Azure, this session is for you. This session will describe the architecture for a metadata driven, minimalistic Azure data platform using Synapse Analytics (serverless SQL) and data lake. You will get to know when this works well, and when it does not.
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We all know that version control for Power BI datasets leaves something to be desired. This is where Tabular Editor saves the day. In this session, you will learn from our mistakes on our journey to CI/CD success see that you can merge the utility of CI/CD with the joy of Power BI datasets.
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Have you been hearing about SQL Notebooks in Azure Data Studio but haven't worked with them yet? Or have you played around with notebooks but not been able to figure out how to make them work for you? Let's jump into SQL Notebooks together as we figure out how we can use them in our day-to-day work!
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Planning to move your databases to the cloud but seriously doubt if your data is 100% secure? No matter if you are on-prem or in the cloud, making sure your data is protected in every angle possible is the most crucial and important step in building a secure data tier of an application. Let's dedicate this session to knowing the different multi-layer defense-in-depth security techniques and strategies available to armor your Azure SQL database. let's dive deep into each of these layers starting with the network security, Azure role-based access control (RBAC), data security at the row level, auditing, advanced threat protection, different layers of encryption, monitoring, and more. By the end of this session, you will have the knowledge to make the right security decisions for your environments and implement these techniques in securing your data. 
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After this session, you will be able to conceptualize and implement different Power BI refresh scheduling patterns in ADF/Synapse. You’ll learn what limitations in Power BI you can overcome with an “external” orchestration tool as well as the different building blocks available. Finally, we will go through an example implementation as well as a step-by-step demo of how you can set this up yourself.
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Introductory session to Azure Data Explorer that shows some examples how to set up ADX and how to use it.
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In this deep-dive session, we will review the specific authentication features in Azure SQL and SQL Server 2022 such as multi-factor authentication, managed identities, support for on-behalf of authentication, and policy-based authentication methods management, etc. and show what makes AAD authentication superior to SQL Authentication. Furthermore, we will illustrate how these features can be configured to provide users of Azure SQL with the most secure, passwordless authentication experience.
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Join us to learn about the SQL Server and Azure SQL Database features that support analytical and HTAP/Translytical workloads.
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During this session, we will talk about Azure Databricks' key features, and typical scenarios where Spark can fit, will see a lot of demos and I will share my top list of Azure Databricks best practices.
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How can you everage SSDT in order to deploy DB changes as part of your CI/CD pipeline
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Get the latest Azure innovations, elastic scale, and unified management for data workloads with or without a direct cloud connection.
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AutoML which stands for Automated Machine Learning empowers data teams to quickly build and deploy machine learning models. It aims to reduce the time and expertise required to generate a machine learning model by automating the heavy lifting of preprocessing, feature engineering, model creation, tuning and evaluation. When it comes to machine learning in Microsoft Azure, there are two main options for running your AutoML: (1) Azure Machine Learning Service and (2) Azure Databricks. This session will aim to introduce how to develop ML models using AutoML on both platforms, as well as the features of each and why you would choose one over the other.
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The session introduces the concept of automated testing and explains how it applies to Power BI solutions, both datasets and reports. Learn about existing tools and approaches and how you can introduce testing scripts to your own CI/CD pipelines.
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Introduction to AutomatedLab PowerShell module that enables you to set up test and lab environments on Hyper-v or Azure in seconds.
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Cosmos DB Serverless in a Nutshell
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Have you ever found yourself at the start of an Azure data engineering project, unsure about what tool to choose? Speak no more! In this session we will discuss three often used data engineering tools on Azure: - Azure Data Factory - Azure Databricks - Azure Synapse Analytics
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If you're not sure whether you're leverating Azure Data Studio to it's full capability, then attend to this session to discover the bits you might be missing.
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Learn how powerful the Azure IoT suite is with Digital Twin and Data Explorer with lessons learned from the field.
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Why do you need subnets? What addresses can we use? And what is the difference between a /16 and a /24 subnet anyway? Virtual Networks and subnets can be daunting in Azure, yet they are fundamental to so many resource types. In this session we'll cover everything you need to know to get started with creating your own virtual network are carving it up into subnets of various sizes to meet your needs. So next time you need to create a subnet to join your Azure SQL VM to, you'll know exactly how to plan for this and implement accordingly.
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Join us for a pure, demo-driven journey of a dozen incredible features for Azure SQL Managed Instance showing you the greatest and latest innovations enabling Database Administrators and Developers to achieve more. Whether you’re a DBA, Azure Administrator, Developer, Business Intelligence developer, or of course any other data professional, these demos will show how you can achieve more with the exciting features that are available to you. Some of the topics we will cover are hybrid scenarios, performance and scale, application compatibility, workload modernization, compliance, data mobility/migration & business continuity/disaster recovery - and several more - in this fast-paced, demo-only session.
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The aim of this session is to highlight the process of implementing Azure Synapse Link for Dataverse and to discuss the reality of working with the data as it is incrementally updated in Azure.
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An overview of the performance enhancing Intelligent Query Processing features in SQL Server 2019 as well as including some new SQL Server 2022 items,
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Nondeterministic calculations are calculations that when invoked repeatedly, return different results given the same inputs. Most T-SQL developers understand what nondeterministic calculations are, but many aren’t aware of the possible implications of using nondeterministic code. This session will show you the many surprising aspects of using nondeterministic code and will provide best practices that will help you avoid getting into trouble.
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Learn how hyperscale can accommodate applications to scale from the very small applications to large scaled out ones with options from provisioned to serverless. This cloud native multi-modal database can meet all modern application needs in the cloud whether security, resiliency, availability or performance.
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The building a Data Lakehouse with Azure Databricks session is a dynamic presentation that benefits an array of Data professionals - data engineers, data architects, data analysts - by covering practices and techniques used to move, shape, orchestrate, and organize data that is made available for analytical solutions that build business insights.
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This session session aims to give you that context. We'll look at how spark-based engines work and how we can use them within Synapse Analytics. We'll dig into Delta, the underlying file format that enables the Lakehouse, and take a tour of how the Synapse compute engines interact with it. Finally, we'll draw out our whole Lakehouse architecture
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Based on real world experience let’s think about just how far the breadth of our knowledge now needs to reach when starting from nothing and building a complete Microsoft Azure Data Analytics solution.
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Learn how to create data types in Power BI and consume them in Excel
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Power BI provides all the features required to design and implement multi-language reports. However, the path to success is not overly intuitive. The purpose of this Dev Camp session is to explain how to use the Power BI features for Internationalization and localization from the ground up and to provide the guidance for building reports that support multiple languages.
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"Learn about the Intelligent query processing feature family such as improvements to memory grant feedback, degree of parallelism (DOP) feedback, parameter sensitive plan optimization, and more - that help business-critical workloads run at scale, without changing your application code. We will cover the intelligent database feature family, the database compatibility levels, and troubleshooting with query store hints."
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Data Governance is an enabler. Explore what the new world of Data Governance is and how we help businesses understand the benefits, why it is important, and how to get started in simple agile steps and where Microsoft Purview fits.
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With more and more deployments of SQL Server becoming hybrid or cloud native, how do you need to think about availability? This session will give you the foundation on how to approach availability in the new world.
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Join this session if you want to get a guided tour into an example of how you could implement Azure DevOps in your organisation or team. We will be complete the journey from idea to running code
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Machine Learning, Data Science, Artificial Intelligence. These are all big words we hear coming into our businesses lately - but what does it all mean?! Microsoft has created a set of simple and scalable tools that any developer can use and integrate into their applications super quickly! This session will focus on the various Cognitive Service offerings, where we can understand why and when we should use Pre-Build AI. Come and learn how to take advantage of these awesome services for your everyday work!
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Come to this session to learn how to use tools and platforms like VS Code, Azure Data Studio, GitHub and Azure DevOps for a modern, secure, and easy-to-use database DevOps experience for Azure SQL. We will use demos to show how to implement a project / declarative approach. You will leave with a solid understanding of the broader landscape as well as specific techniques that you can implement immediately.
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Want to level up your Power BI data modeling skills? During this session you will learn how to deal with different source groups, storage modes and composite models in Power BI. Also, how to avoid redundant measures by implementing calculations groups and the challenge that comes when you combine calculation groups with remote and local Power BI models.
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Power BI has revolutionized the industry by accelerating our ability to deliver Data Analytics solutions. But how do we ensure the code we build is reliable and the data is produced in a timely and trustworthy manner? Enter DataOps, a better way to develop and deliver Data Analytics Solutions. In this session, I’ll cover the concept of DataOps, why it matters to Power BI, and the principles that can drive you to continuously improve.
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One of the biggest hurdles in learning how to use Power BI is the DAX modeling language. While it looks simple, like Excel formulas, it requires a who set of mental models to use effectively. In this session, we'll cover all the roadblocks to getting started with DAX.
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Modern software engineering and management for ETL, so data analysts and engineers can spend less time on tooling and focus on getting value from data.
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In this session, we will see how to use Delta Live Tables to build fast, reliable, scalable, and declarative ETL pipelines on Azure Databricks platform.
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When it comes to Power BI Reports design, both slicers and filters have their own space and use cases. However, Slicers and filters are probably among the most frequently misused terms in Power BI design. In this session, we will start with what are Power BI Slicers and filters. What are the differences between and when to use what? We will investigate the pros and cons of each and how to get the best of both filters and slicers in Power BI. By the end of the session, attendees will get an overall view of Power BI slicers and filters in Power BI designing.
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In this session I'll guide you from through a secure reference architecture with Data Factory, Databricks, Data Lake, and Azure Synapse, working together as a secure, fully productionised platform. Each has their own idiosyncrasies, but this session will teach you the options available and the pitfalls to avoid.
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This session will cover all the tools available within Power BI Desktop that can allow us to build accessible dashboards for all end-users.
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Hybrid Tables in Power BI - Do you have the courage to mess with them? Jump in and together let's chop the data in static, incremental and instable data that is changing every second…
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"In this session, learn how Arc enabling your existing SQL Servers, allows you to view, manage, secure and govern these SQL Servers from Azure, whether they are on-premises or in a different cloud. We will explore various areas such as: Use cases on when to Arc enable your SQL Server Onboarding single and at scale SQL Servers Inventory management from Azure Best Practice Assessments from Azure Integrate with Azure services such as Defender for Cloud, Azure AD etc. Plenty of demos included throughout."
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Extend your Power BI governance functionality with Microsoft Purview. This session will show you how, what's in it for your PBI Landscape in terms of data catalog, -map and -lineage, data loss prevention, life cycles management and information protection. You will see live demos, watch outs and implementation best practises.
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